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Parameter-free projected gradient descent

 Evgenii Chzhen , Christophe Giraud , Gilles Stoltz
2023
Pré-publication, Document de travail hal-04105636v1

Gradient-free optimization of highly smooth functions: improved analysis and a new algorithm

 Arya Akhavan , Evgenii Chzhen , Massimiliano Pontil , Alexandre B. Tsybakov
2023
Pré-publication, Document de travail hal-04275558v1

A gradient estimator via L1-randomization for online zero-order optimization with two point feedback

 Arya Akhavan , Evgenii Chzhen , Massimiliano Pontil , Alexandre B. Tsybakov
NeurIPS 2022 - Thirty-sixth Conference on Neural Information Processing Systems, Nov 2022, New Orleans, United States
Communication dans un congrès hal-03782218v1

Addressing bias in online selection with limited budget of comparisons

 Ziyad Benomar , Evgenii Chzhen , Nicolas Schreuder , Vianney Perchet
2023
Pré-publication, Document de travail hal-04275550v1
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Minimax semi-supervised set-valued approach to multi-class classification

 Evgenii Chzhen , Christophe Denis , Mohamed Hebiri
Bernoulli, 2021, ⟨10.3150/20-BEJ1313⟩
Article dans une revue hal-02112918v1

Fair learning with Wasserstein barycenters for non-decomposable performance measures

 Solenne Gaucher , Nicolas Schreuder , Evgenii Chzhen
AISTATS, Apr 2023, Valence (Espagne), Spain. pp.2436-2459
Communication dans un congrès hal-03767640v1
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Small Total-Cost Constraints in Contextual Bandits with Knapsacks, with Application to Fairness

 Evgenii Chzhen , Christophe Giraud , Zhen Li , Gilles Stoltz
Advances in Neural Information Processing Systems, Dec 2023, New Orleans, United States
Communication dans un congrès hal-04105622v2

A minimax framework for quantifying risk-fairness trade-off in regression

 Evgenii Chzhen , Nicolas Schreuder
Annals of Statistics, 2022, 50 (4), pp.2416 - 2442
Article dans une revue hal-03073960v1
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Fair Regression via Plug-in Estimator and Recalibration With Statistical Guarantees

 Evgenii Chzhen , Christophe Denis , Mohamed Hebiri , Luca Oneto , Massimiliano Pontil
NeurIPS 2020 - 34th Conference on Neural Information Processing Systems, Dec 2020, Vancouver / Virtuel, Canada
Communication dans un congrès hal-02501190v1

Classification with abstention but without disparities

 Nicolas Schreuder , Evgenii Chzhen
Conference on Uncertainty in Artificial Intelligence (UAI 2021), Jul 2021, Virtual conference, Australia
Communication dans un congrès hal-03152091v1

Set-valued classification -- overview via a unified framework

 Evgenii Chzhen , Christophe Denis , Mohamed Hebiri , Titouan Lorieul
2021
Pré-publication, Document de travail hal-03154625v1

SignSVRG: fixing signSGD via variance reduction

 Evgenii Chzhen , Sholom Schechtman
2023
Pré-publication, Document de travail hal-04112556v1
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Leveraging Labeled and Unlabeled Data for Consistent Fair Binary Classification

 Evgenii Chzhen , Christophe Denis , Mohamed Hebiri , Luca Oneto , Massimiliano Pontil
NeurIPS 2019 - 33th Annual Conference on Neural Information Processing Systems, Dec 2019, Vancouver, Canada
Communication dans un congrès hal-02150662v2
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Optimal Rates for Nonparametric F-Score Binary Classification via Post-Processing

 Evgenii Chzhen
Mathematical Methods of Statistics, 2021, ⟨10.3103/S1066530720020027⟩
Article dans une revue hal-02123314v1

An example of prediction which complies with Demographic Parity and equalizes group-wise risks in the context of regression

 Evgenii Chzhen , Nicolas Schreuder
NeurIPS 2020 Workshop on Algorithmic Fairness through the Lens of Causality and Interpretability, Dec 2020, Vancouver, Canada
Poster de conférence hal-03073964v1
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